TY - GEN
T1 - NADI 2023
T2 - 1st Arabic Natural Language Processing Conference, ArabicNLP 2023
AU - Abdul-Mageed, Muhammad
AU - Elmadany, Abdel Rahim
AU - Zhang, Chiyu
AU - Nagoudi, El Moatez Billah
AU - Bouamor, Houda
AU - Habash, Nizar
N1 - Publisher Copyright:
© 2023 Association for Computational Linguistics.
PY - 2023
Y1 - 2023
N2 - We describe the findings of the fourth Nuanced Arabic Dialect Identification Shared Task (NADI 2023). The objective of NADI is to help advance state-of-the-art Arabic NLP by creating opportunities for teams of researchers to collaboratively compete under standardized conditions. It does so with a focus on Arabic dialects, offering novel datasets and defining subtasks that allow for meaningful comparisons between different approaches. NADI 2023 targeted both dialect identification (Subtask 1) and dialect-to-MSA machine translation (Subtask 2 and Subtask 3). A total of 58 unique teams registered for the shared task, of whom 18 teams have participated (with 76 valid submissions during test phase). Among these, 16 teams participated in Subtask 1, 5 participated in Subtask 2, and 3 participated in Subtask 3. The winning teams achieved 87.27 F1 on Subtask 1, 14.76 Bleu in Subtask 2, and 21.10 Bleu in Subtask 3, respectively. Results show that all three subtasks remain challenging, thereby motivating future work in this area. We describe the methods employed by the participating teams and briefly offer an outlook for NADI.
AB - We describe the findings of the fourth Nuanced Arabic Dialect Identification Shared Task (NADI 2023). The objective of NADI is to help advance state-of-the-art Arabic NLP by creating opportunities for teams of researchers to collaboratively compete under standardized conditions. It does so with a focus on Arabic dialects, offering novel datasets and defining subtasks that allow for meaningful comparisons between different approaches. NADI 2023 targeted both dialect identification (Subtask 1) and dialect-to-MSA machine translation (Subtask 2 and Subtask 3). A total of 58 unique teams registered for the shared task, of whom 18 teams have participated (with 76 valid submissions during test phase). Among these, 16 teams participated in Subtask 1, 5 participated in Subtask 2, and 3 participated in Subtask 3. The winning teams achieved 87.27 F1 on Subtask 1, 14.76 Bleu in Subtask 2, and 21.10 Bleu in Subtask 3, respectively. Results show that all three subtasks remain challenging, thereby motivating future work in this area. We describe the methods employed by the participating teams and briefly offer an outlook for NADI.
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M3 - Conference contribution
AN - SCOPUS:85175596828
T3 - ArabicNLP 2023 - 1st Arabic Natural Language Processing Conference, Proceedings
SP - 600
EP - 613
BT - ArabicNLP 2023 - 1st Arabic Natural Language Processing Conference, Porceedings
A2 - Sawaf, Hassan
A2 - El-Beltagy, Samhaa
A2 - Zaghouani, Wajdi
A2 - Magdy, Walid
A2 - Tomeh, Nadi
A2 - Abu Farha, Ibrahim
A2 - Habash, Nizar
A2 - Khalifa, Salam
A2 - Keleg, Amr
A2 - Haddad, Hatem
A2 - Zitouni, Imed
A2 - Abdelali, Ahmed
A2 - Mrini, Khalil
A2 - Almatham, Rawan
PB - Association for Computational Linguistics (ACL)
Y2 - 7 December 2023
ER -